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"source": [
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"## Generate OpenAI Embeddings and Load Documents into the Index\n",
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"\n",
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"Now that we have a search index, we can load documents into it. We will use the dataframe containing the styles dataset loaded previously. In Redis, either the HASH or JSON (if using RedisJSON in addition to RediSearch) data types can be used to store documents. We will use the HASH data type in this example. The cells bellow will show how to get OpenAI embeddings for the different products and load documents into the index."
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"Now that we have a search index, we can load documents into it. We will use the dataframe containing the styles dataset loaded previously. In Redis, either the HASH or JSON (if using RedisJSON in addition to RediSearch) data types can be used to store documents. We will use the HASH data type in this example. The cells below will show how to get OpenAI embeddings for the different products and load documents into the index."
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]
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},
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{
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